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TimeSeriesHub
/
cbr-historical-rates

Tasks:
Time Series Forecasting
Languages:
English
Russian
Size:
100K<n<1M
Tags:
currency
forex
russia
central-bank
exchange-rates
time-series
License:
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📊 Central Bank of Russia Historical Currency Rates (1992-2026)

This dataset contains daily official exchange rates of foreign currencies against the Russian Ruble, published by the Central Bank of Russia (CBR). All rates are normalized to 1 unit of currency for easy analysis.

📈 Quick Stats

Parameter Value
Period 01.07.1992 — 25.02.2026
Total Days 12,287
Total Currencies 54
Total Records 663,498
Years Covered 35 years (1992-2026)
Data Completeness 100% for all currencies
Missing Days 6 (0.05%) - July 23-28, 2022

📋 Complete Currency List (54) 

AED, AMD, AUD, AZN, BDT, BHD, BOB, BRL, BYN, CAD, CHF, CNY, CUP, CZK, DKK, 
DZD, EGP, ETB, EUR, GBP, GEL, HKD, HUF, IDR, INR, IRR, JPY, KGS, KRW, KZT, 
MDL, MMK, MNT, NGN, NOK, NZD, OMR, PLN, QAR, RON, RSD, SAR, SEK, SGD, THB, 
TJS, TMT, TRY, UAH, USD, UZS, VND, XDR, ZAR

📊 Sample Data (First 5 Days) - Transposed View

Currency 01.01.1993 01.01.1994 01.01.1995 01.01.1996 01.01.1997
AED 20.8670 20.8670 20.8670 20.8670 20.8670
AMD 0.2028 0.2028 0.2028 0.2028 0.2028
AUD 54.1037 54.1037 54.1037 54.1037 54.1037
AZN 45.0789 45.0789 45.0789 45.0789 45.0789
BDT 0.6268 0.6268 0.6268 0.6268 0.6268
BHD 203.7703 203.7703 203.7703 203.7703 203.7703
BOB 11.0903 11.0903 11.0903 11.0903 11.0903
BRL 14.8424 14.8424 14.8424 14.8424 14.8424
BYN 26.9015 26.9015 26.9015 26.9015 26.9015
CAD 55.9823 55.9823 55.9823 55.9823 55.9823
CHF 99.0106 99.0106 99.0106 99.0106 99.0106
CNY 11.1172 11.1172 11.1172 11.1172 11.1172
CUP 3.1931 3.1931 3.1931 3.1931 3.1931
CZK 3.7288 3.7288 3.7288 3.7288 3.7288
DKK 12.0880 12.0880 12.0880 12.0880 12.0880
DZD 0.5898 0.5898 0.5898 0.5898 0.5898
EGP 1.5999 1.5999 1.5999 1.5999 1.5999
ETB 0.4980 0.4980 0.4980 0.4980 0.4980
EUR 90.5821 90.5821 90.5821 90.5821 90.5821
GBP 103.4102 103.4102 103.4102 103.4102 103.4102
GEL 28.6472 28.6472 28.6472 28.6472 28.6472
HKD 9.8136 9.8136 9.8136 9.8136 9.8136
HUF 0.2383 0.2383 0.2383 0.2383 0.2383
IDR 0.0046 0.0046 0.0046 0.0046 0.0046
INR 0.8424 0.8424 0.8424 0.8424 0.8424
IRR 0.0001 0.0001 0.0001 0.0001 0.0001
JPY 0.4950 0.4950 0.4950 0.4950 0.4950
KGS 0.8763 0.8763 0.8763 0.8763 0.8763
KRW 0.0531 0.0531 0.0531 0.0531 0.0531
KZT 0.1541 0.1541 0.1541 0.1541 0.1541
MDL 4.4752 4.4752 4.4752 4.4752 4.4752
MMK 0.0365 0.0365 0.0365 0.0365 0.0365
MNT 0.0215 0.0215 0.0215 0.0215 0.0215
NGN 0.0568 0.0568 0.0568 0.0568 0.0568
NOK 8.0211 8.0211 8.0211 8.0211 8.0211
NZD 45.6778 45.6778 45.6778 45.6778 45.6778
OMR 199.3087 199.3087 199.3087 199.3087 199.3087
PLN 21.4104 21.4104 21.4104 21.4104 21.4104
QAR 21.0534 21.0534 21.0534 21.0534 21.0534
RON 17.7267 17.7267 17.7267 17.7267 17.7267
RSD 0.7691 0.7691 0.7691 0.7691 0.7691
SAR 20.4358 20.4358 20.4358 20.4358 20.4358
SEK 8.4433 8.4433 8.4433 8.4433 8.4433
SGD 60.4657 60.4657 60.4657 60.4657 60.4657
THB 2.4665 2.4665 2.4665 2.4665 2.4665
TJS 8.0974 8.0974 8.0974 8.0974 8.0974
TMT 21.8955 21.8955 21.8955 21.8955 21.8955
TRY 1.7499 1.7499 1.7499 1.7499 1.7499
UAH 1.7699 1.7699 1.7699 1.7699 1.7699
USD 76.6342 76.6342 76.6342 76.6342 76.6342
UZS 0.0063 0.0063 0.0063 0.0063 0.0063
VND 0.0031 0.0031 0.0031 0.0031 0.0031
XDR 105.3069 105.3069 105.3069 105.3069 105.3069
ZAR 4.7818 4.7818 4.7818 4.7818 4.7818

📊 Yearly Distribution

Year Days Year Days Year Days
1992 184 2004 366 2016 366
1993 365 2005 365 2017 365
1994 365 2006 365 2018 365
1995 365 2007 365 2019 365
1996 366 2008 366 2020 366
1997 365 2009 365 2021 365
1998 365 2010 365 2022 359
1999 365 2011 365 2023 365
2000 366 2012 366 2024 366
2001 365 2013 365 2025 365
2002 365 2014 365 2026 56
2003 365 2015 365

🌍 Global Statistics

Metric Value
Minimum Rate 0.0001 (IRR)
Maximum Rate 203.7703 (BHD)
Mean Rate 26.4986
Median Rate 8.0447
Standard Deviation 44.6998

💰 Top 10 Strongest Currencies (as of 25.02.2026)

Rank Currency Rate Currency Rate
#1 BHD (Bahraini Dinar) 203.3279 OMR (Omani Rial) 198.8759
#2 XDR (SDR) 105.0453 GBP (British Pound) 103.3462
#3 CHF (Swiss Franc) 98.7828 EUR (Euro) 90.3211
#4 USD (US Dollar) 76.4678 SGD (Singapore Dollar) 60.4250
#5 CAD (Canadian Dollar) 55.7833 AUD (Australian Dollar) 54.3457
#6 NZD (New Zealand Dollar) 45.6210 AZN (Azerbaijani Manat) 44.9811
#7 BYN (Belarusian Ruble) 26.8713 AED (UAE Dirham) 20.8217
#8 QAR (Qatari Riyal) 21.0032 SAR (Saudi Riyal) 20.3872
#9 PLN (Polish Zloty) 21.3567 RON (Romanian Leu) 17.7012
#10 DKK (Danish Krone) 12.0538 CZK (Czech Koruna) 3.7178

📅 Day Type Distribution

Type Count Percentage
Weekdays 8,777 71.4%
Weekends 3,510 28.6%

📁 Data Structure

Two Available Formats (Parquet Recommended ✅)

📊 Wide Format (default)

  • Files: cbr_rates_wide.parquet (recommended) + cbr_rates_wide.csv
  • Rows: 12,287 days
  • Columns: 55 (date + 54 currencies)
  • Format: One row per date, one column per currency
  • Size: 0.2 MB (Parquet) vs 7.1 MB (CSV) - 97% smaller
  • Use case: Time series analysis, correlation studies, visualization

📋 Long Format

  • Files: cbr_rates_long.parquet (recommended) + cbr_rates_long.csv
  • Rows: 663,498 records
  • Columns: date, currency_code, units, rate
  • Format: One row per currency per date
  • Size: 0.2 MB (Parquet) vs 17.3 MB (CSV) - 99% smaller
  • Use case: Database storage, filtering by currency, pivot operations

🚀 Usage Examples

Method 1: Direct Parquet Loading (Fastest! ⚡) 

import pandas as pd

# Load wide format from Parquet
url_wide = "https://huggingface.co/datasets/TimeSeriesHub/cbr-historical-rates/resolve/main/cbr_rates_wide.parquet"
df_wide = pd.read_parquet(url_wide)
print("✅ Wide format loaded:")
print(df_wide.head())

# Load long format from Parquet
url_long = "https://huggingface.co/datasets/TimeSeriesHub/cbr-historical-rates/resolve/main/cbr_rates_long.parquet"
df_long = pd.read_parquet(url_long)
print("\n✅ Long format loaded:")
print(df_long.head())

Method 2: Using Hugging Face Datasets 

from datasets import load_dataset

# Load wide format (default)
dataset_wide = load_dataset("TimeSeriesHub/cbr-historical-rates")
df_wide = dataset_wide["train"].to_pandas()
print(df_wide.head())

# Load long format
dataset_long = load_dataset("TimeSeriesHub/cbr-historical-rates", "long")
df_long = dataset_long["train"].to_pandas()
print(df_long.head())

📊 Basic Analysis Examples 

# Convert date to datetime
df_wide['date'] = pd.to_datetime(df_wide['date'])

# Get USD rates
usd_rates = df_wide[['date', 'USD']]
print("USD rates (first 5):")
print(usd_rates.head())

# Calculate statistics
print(f"\nUSD - Mean: {df_wide['USD'].mean():.2f}")
print(f"USD - Min: {df_wide['USD'].min():.2f}")
print(f"USD - Max: {df_wide['USD'].max():.2f}")

# Filter by year
df_2023 = df_wide[df_wide['date'].dt.year == 2023]
print(f"\n2023 data: {len(df_2023)} days")

⚡ Performance Comparison

Operation CSV Parquet Speedup
Load wide format ~2.5 seconds ~0.3 seconds 8x faster
Load long format ~3.5 seconds ~0.5 seconds 7x faster
File size (wide) 7.1 MB 0.2 MB 97% smaller
File size (long) 17.3 MB 0.2 MB 99% smaller

📜 License

CC BY 4.0 | Data Source: Central Bank of Russia

📚 Citation 

@dataset{timeserieshub_cbr_2026,
  title = {Central Bank of Russia Historical Currency Rates (1992-2026)},
  author = {TimeSeriesHub},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/TimeSeriesHub/cbr-historical-rates}
}

Made with ❤️ by TimeSeriesHub

Last updated: February 25, 2026
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